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ORCIDMuhammed Maruf Öztürk
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2020 – today
- 2024
[j20]Muhammed Maruf Öztürk
:
A cosine similarity-based labeling technique for vulnerability type detection using source codes. Comput. Secur. 146: 104059 (2024)- [j19]Muhammed Maruf Öztürk:
Tuning parameters of Apache Spark with Gauss-Pareto-based multi-objective optimization. Knowl. Inf. Syst. 66(2): 1065-1090 (2024) - 2023
- [j18]Muhammed Maruf Öztürk:
Initializing hyper-parameter tuning with a metaheuristic-ensemble method: a case study using time-series weather data. Evol. Intell. 16(3): 1019-1031 (2023) - [j17]Muhammed Maruf Öztürk:
Hyperparameter Optimization of a Parallelized LSTM for Time Series Prediction. Vietnam. J. Comput. Sci. 10(3): 303-328 (2023) - 2022
- [j16]Valentina Nejkovic, Muhammed Maruf Öztürk, Nenad Petrovic:
Head pose healthiness prediction using a novel image quality based stacked autoencoder. Digit. Signal Process. 130: 103696 (2022) - [j15]Muhammed Maruf Öztürk:
A tuned feed-forward deep neural network algorithm for effort estimation. J. Exp. Theor. Artif. Intell. 34(2): 235-259 (2022) - [j14]Muhammed Maruf Öztürk:
Developing a hyperparameter optimization method for classification of code snippets and questions of stack overflow: HyperSCC. EAI Endorsed Trans. Scalable Inf. Syst. 10(1): e5 (2022) - 2021
- [j13]Muhammed Maruf Öztürk:
complexFuzzy: A novel clustering method for selecting training instances of cross-project defect prediction. Comput. Sci. 22(1) (2021) - [j12]Muhammed Maruf Öztürk:
To what extent is tuned neural network pruning beneficial in software effort estimation? Comput. Sci. J. Moldova 29(3): 340-365 (2021) - 2020
- [j11]Muhammed Maruf Öztürk, Ibrahim Arda Çankaya, Deniz Ipekçi:
Optimizing echo state network through a novel fisher maximization based stochastic gradient descent. Neurocomputing 415: 215-224 (2020) - [i1]Muhammed Maruf Öztürk:
On tuning deep learning models: a data mining perspective. CoRR abs/2011.09857 (2020)
2010 – 2019
- 2019
- [j10]Muhammed Maruf Öztürk:
Is Complexity-based Clustering of Process Metrics as Effective as in Static Code Metrics. Balt. J. Mod. Comput. 7(1) (2019) - [j9]Muhammed Maruf Öztürk:
The impact of parameter optimization of ensemble learning on defect prediction. Comput. Sci. J. Moldova 27(1): 85-128 (2019) - 2018
- [j8]Muhammed Maruf Öztürk:
A bat-inspired algorithm for prioritizing test cases. Vietnam. J. Comput. Sci. 5(1): 45-57 (2018) - [c4]Vardis-Dimitris Anezakis, Muhammed Maruf Öztürk:
Verification of the effectiveness of fuzzy rule-based fault prediction: A replication study. INISTA 2018: 1-8 - 2017
- [j7]Muhammed Maruf Öztürk:
Which type of metrics are useful to deal with class imbalance in software defect prediction? Inf. Softw. Technol. 92: 17-29 (2017) - [c3]Muhammed Maruf Öztürk:
Adapting code maintainability to bat-inspired test case prioritization. INISTA 2017: 67-72 - 2016
- [b1]Muhammed Maruf Öztürk:
Tekrar eden veri analizini kullanarak yazılım geliştirme için iyileştirilmiş hata tahmini (A new improved defect prediction framework for software development using repeated data analysis). Sakarya University, Turkey, 2016 - [j6]Muhammed Maruf Öztürk, Ahmet Zengin:
How repeated data points affect bug prediction performance: A case study. Appl. Soft Comput. 49: 1051-1061 (2016) - [j5]Muhammed Maruf Öztürk, Ahmet Zengin:
Improved GUI Testing using Task Parallel Library. ACM SIGSOFT Softw. Eng. Notes 41(1): 1-8 (2016) - [j4]Muhammed Maruf Öztürk, Ahmet Zengin:
Improved GUI Testing using Task Parallel Library. ACM SIGSOFT Softw. Eng. Notes 41(2): 1-8 (2016) - [c2]Muhammed Maruf Öztürk, Ahmet Zengin:
HSDD: a hybrid sampling strategy for class imbalance in defect prediction data sets. FGCT 2016: 60-69 - [c1]Muhammed Maruf Öztürk, Ahmet Zengin:
HSDD: A hybrid sampling strategy for class imbalance in defect prediction data sets. ICDIM 2016: 225-234 - 2015
- [j3]Muhammed Maruf Öztürk, Ünal Çavusoglu, Ahmet Zengin:
A novel defect prediction method for web pages using k-means++. Expert Syst. Appl. 42(19): 6496-6506 (2015) - [j2]Muhammed Maruf Öztürk, Ibrahim Cil, Ahmet Zengin:
Development of a Multi-Agent Framework for Software Quality. ACM SIGSOFT Softw. Eng. Notes 40(1): 1-10 (2015) - 2012
- [j1]Ahmet Zengin, Muhammed Maruf Öztürk:
Formal verification and validation with DEVS-Suite: OSPF Case study. Simul. Model. Pract. Theory 29: 193-206 (2012)
Coauthor Index
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